Edgeverve - Associate Director - Artificial Intelligence
1 month ago
Job Description :
EdgeVerve, a fully owned subsidiary of Infosys Limited, is a global leader in AI, Automation, and Analytics. Our technology empowers enterprises globally to bring life to their digital transformation initiatives.
We are not just building path-breaking products; we are building technology that will unlock hidden business value from your business processes, documents, and supply chain.
Our digital platforms help clients capitalize on the inherent power of a connected enterprise. We do this by amplifying the human potential, crafting connected customer journeys and exploiting the power of value networks.
General Qualifications :
- Advanced Degree : BS, Master's or Ph.D. in Computer Science, Data Science, Statistics, or related fields.
- Programming Skills : Proficiency in Python, Go, or similar programming languages.
- Data Handling : Experience with large-scale data processing and analysis.
- Machine Learning Frameworks : Proficiency with TensorFlow, PyTorch, Keras, or similar frameworks.
- Communication Skills : Strong ability to communicate technical concepts to non-technical stakeholders.
Experience : 8+ yrs
Specialized Skills for Each Area :
Transformers :
- Model Training : Skills in training and fine-tuning transformer models.
- Architecture Understanding : Deep understanding of transformer architecture and its variants.
Prompt Engineering :
- Creative Problem-Solving : Ability to design effective prompts for various AI models.
- Model Interaction : Experience in interacting with models like GPT-3 for specific outputs.
AI Bias and Risks :
- Ethical AI : Knowledge of ethical considerations and bias in AI.
- Risk Assessment : Ability to assess and mitigate risks in AI systems.
Vision :
Image Processing :
- Experience with image recognition, object detection, and computer vision techniques.
Deep Learning for Vision :
- Familiarity with CNNs, GANs, and other neural network architectures for image processing.
Natural Language Processing (NLP) :
- Language Models : Experience with modern NLP techniques and language models (e.g., BERT, GPT).
Text Processing :
- Skills in text mining, text classification, sentiment analysis.
- NLP Libraries : Proficiency in NLP libraries like NLTK, SpaCy, Hugging Face Transformers.
PM and Collaboration :
- Collaboration Skills : Experience working in cross-functional teams.
- Project Management : Familiarity with agile methodologies and project management tools.
- Continuous Learning : Commitment to staying updated with the latest advancements in the field.
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